Evidence map›Paper›PMID 35007307›Full record

ArticlePloS one2022

Long non-coding RNAs (lncRNAs) NEAT1 and MALAT1 are differentially expressed in severe COVID-19 patients: An integrated single-cell analysis.

Kai Huang, Catherine Wang, Christen Vagts, Vanitha Raguveer, Patricia W Finn, David L Perkins

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. iScience · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Kai HuangDivision of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Catherine WangCollege of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Christen VagtsDivision of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Vanitha RaguveerCollege of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Patricia W FinnDivision of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-6936-103X
David L PerkinsDepartment of Bioengineering, University of Illinois at Chicago, Chicago, Illinois, United States of America.
University of Illinois Chicago · US

Funding

Precision Medicine in SarcoidosisR01HL138628 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI JACOBSON, JEFFREY R, PERKINS, DAVID LINN · 2018 to 2021
$3.6M
The microbiota and allograft rejection: novel investigations into the consequences of obesityU01AI132898 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI ALEGRE, MARIA-LUISA, PERKINS, DAVID LINN · 2017 to 2021
$2.3M
Postdoctoral Training Program in Pulmonary and Critical Care Translational ResearchT32HL144909 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI DUDEK, STEVEN M, FINN, PATRICIA W · 2019 to 2023
$1.3M
Immune Dysregulation in SarcoidosisF30HL151182 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HUANG, KAI · 2020 to 2024
$260k
NHLBI NIH HHS F30 HL151182NHLBI NIH HHS R01 HL138628NHLBI NIH HHS T32 HL144909NIAID NIH HHS U01 AI132898
6 · The paper itself

Abstract

Hyperactive and damaging inflammation is a hallmark of severe rather than mild Coronavirus disease 2019 (COVID-19). To uncover key inflammatory differentiators between severe and mild COVID-19, we applied an unbiased single-cell transcriptomic analysis. We integrated two single-cell RNA-seq datasets with COVID-19 patient samples, one that sequenced bronchoalveolar lavage (BAL) cells and one that sequenced peripheral blood mononuclear cells (PBMCs). The combined cell population was then analyzed with a focus on genes associated with disease severity. The immunomodulatory long non-coding RNAs (lncRNAs) NEAT1 and MALAT1 were highly differentially expressed between mild and severe patients in multiple cell types. Within those same cell types, the concurrent detection of other severity-associated genes involved in cellular stress response and apoptosis regulation suggests that the pro-inflammatory functions of these lncRNAs may foster cell stress and damage. Thus, NEAT1 and MALAT1 are potential components of immune dysregulation in COVID-19 that may provide targets for severity related diagnostic measures or therapy.

Indexed as

Bronchoalveolar Lavage FluidCells, CulturedCluster AnalysisCOVID-19Gene Expression ProfilingGene OntologyHumansInflammationLeukocytes, MononuclearRNA, Long NoncodingRNA-SeqSARS-CoV-2Severity of Illness IndexSingle-Cell AnalysisMALAT1 long non-coding RNA, humanNEAT1 long non-coding RNA, humanRNA, Long Noncoding

Identifiers

PMID35007307
PMCPMC8746747
OpenAlexW4205292565

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.